Вакансии: Данные — Израиль

Join a cloud services team in Ra'anana to design, develop, and maintain AWS- and Databricks-based data platforms. The role combines data engineering, database administration, lakehouse architecture, and analytics engineering.

Join a performance advertising technology company’s algorithms team in Tel Aviv. Build machine learning systems that optimize real-time bidding, pricing, auction outcomes, and advertiser performance at large scale.

Own AI- and LLM-powered fraud and risk detection products from modeling and evaluation through production monitoring. Partner with engineering teams to deploy models in real-time and batch systems and improve measurable product outcomes.

Join an advertising technology company’s Algorithms team in Tel Aviv to develop and deploy machine learning models for real-time bidding, pricing, recommendation, and auction optimization.

Own the data science lifecycle for AI- and LLM-powered fraud and risk detection products, including modeling, prompt design, evaluation, experimentation, and production performance.

Join a product analytics team on a six-to-eight-month fixed-term contract starting October 12, 2026. Own the engineering foundations that make product data trusted, consistent, and accessible to analysts and stakeholders. The role uses AI-assisted coding environments such as Cursor and Claude as a 日

Lead end-to-end product, operations, and business analytics, turning complex datasets into KPIs, dashboards, and actionable insights.

A global technology company is seeking a senior BI professional to lead enterprise data architecture, analytics delivery, and scalable business intelligence solutions.

Join a digital healthcare group and turn customer and business data into actionable insights that improve retention, repeat purchases, reactivation, and customer lifetime value across international markets.

Join a sovereign cybersecurity company to develop and deploy advanced AI systems for government-focused security products. The role covers applied research, LLMs, deep learning, and agent-based architectures, with ownership from problem definition through production deployment.